{"id":1077894,"date":"2025-09-29T12:50:21","date_gmt":"2025-09-29T11:50:21","guid":{"rendered":"https:\/\/pulse.microsoft.com\/?p=1077894"},"modified":"2025-09-29T12:50:22","modified_gmt":"2025-09-29T11:50:22","slug":"fa2-the-future-of-mobility-driving-innovation-in-transport-with-ai","status":"publish","type":"post","link":"https:\/\/pulse.microsoft.com\/nl-nl\/transform-nl-nl\/government-nl-nl-2\/fa2-the-future-of-mobility-driving-innovation-in-transport-with-ai\/","title":{"rendered":"The future of mobility: driving innovation in transport with AI"},"content":{"rendered":"

The transport sector is going through yet another period of unprecedented change. At a time when themes such as sustainability, safety and experience are more important than ever, operators are having to juggle passenger expectations with seamless services and the complex operational demands of managing vast networks.<\/span>\u00a0<\/span><\/p>\n

Research shows 91% of\u00a0logistics\u00a0firms report that their clients now demand seamless, end-to-end\u00a0logistics\u00a0services from a single provider.\u00a0<\/span>\u00a0<\/span><\/p>\n

Faced with such a dynamic and fast-paced environment, operators\u00a0are in need of\u00a0a new approach\u00a0\u2013 one powered by advanced digital capabilities.\u00a0<\/span>\u00a0<\/span><\/p>\n

As our recent\u00a0<\/span>Cloud Migration Simplified eBook<\/span><\/i>\u00a0highlights, cloud computing is “more crucial than ever to adopt technical infrastructure that matches the pace of digital transformation and leverages cloud technologies to unlock innovation and efficiency”.\u00a0<\/span>\u00a0<\/span><\/p>\n

That applies to artificial intelligence (AI) too.\u00a0<\/span>\u00a0<\/span><\/p>\n

According to\u00a0<\/span>r<\/span>ecent research<\/span><\/a>, AI-powered innovations could reduce\u00a0logistics\u00a0costs by 15%,\u00a0optimize\u00a0inventory levels by 35%, and boost service levels by 65%. Over the next two decades, AI adoption in\u00a0logistics\u00a0could generate between\u00a0$1.3 trillion\u00a0and\u00a0$2 trillion\u00a0per year in economic value.<\/span>\u00a0<\/span><\/p>\n

NS: a blueprint for AI-powered transport reliability<\/span><\/b>\u00a0<\/span>\u00a0<\/span><\/h2>\n

The impact has been significant.\u00a0<\/span>\u00a0<\/span><\/p>\n

By allowing commuters to plan alternatives, the model increases overall reliability and enhances customer satisfaction. This also supports NS\u2019s long-term strategic planning, allowing them to forecast future bike demand.\u00a0<\/span>\u00a0<\/span><\/p>\n

The road ahead<\/span><\/b>\u00a0<\/span><\/h2>\n

The journey for NS, and indeed for the entire transport sector, is one of continuous innovation. Looking ahead, NS plans to embed the model into their app, which serves over two million users, and extend its rollout to third parties.\u00a0<\/span>\u00a0<\/span><\/p>\n

For transport organizations globally the potential\u00a0remains\u00a0huge \u2013 and the canvas for innovation\u00a0still gloriously\u00a0blank.<\/span>\u00a0<\/span><\/p>\n

Discover Nederlandse Spoorwegen’s AI-powered rail transformation. Learn how this railway company revolutionized predictive maintenance and operational efficiency with Azure Machine Learning.<\/span>\u00a0<\/span>Read the full story.<\/span><\/b><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

The transport sector is going through yet another period of unprecedented change. At a time when themes such as sustainability, safety and experience are more important than ever, operators are having to juggle passenger expectations with seamless services and the complex operational demands of managing vast networks.\u00a0 Research shows 91% of\u00a0logistics\u00a0firms report that their clients […]<\/p>\n","protected":false},"author":935,"featured_media":1078054,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[590],"class_list":["post-1077894","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-digital-transformation-nl-nl","specials-transform-nl-nl","verticalIndustries-government-nl-nl-2","stories-hoe-richt-ik-mijn-bedrijf-in-om-innovatief-te-ondernemen-innoveren-in-je-business","stories-innovation-nl-nl","businessPriorities-data-ai-nl-nl"],"_links":{"self":[{"href":"https:\/\/pulse.microsoft.com\/nl-nl\/wp-json\/wp\/v2\/posts\/1077894"}],"collection":[{"href":"https:\/\/pulse.microsoft.com\/nl-nl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pulse.microsoft.com\/nl-nl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pulse.microsoft.com\/nl-nl\/wp-json\/wp\/v2\/users\/935"}],"replies":[{"embeddable":true,"href":"https:\/\/pulse.microsoft.com\/nl-nl\/wp-json\/wp\/v2\/comments?post=1077894"}],"version-history":[{"count":3,"href":"https:\/\/pulse.microsoft.com\/nl-nl\/wp-json\/wp\/v2\/posts\/1077894\/revisions"}],"predecessor-version":[{"id":1079030,"href":"https:\/\/pulse.microsoft.com\/nl-nl\/wp-json\/wp\/v2\/posts\/1077894\/revisions\/1079030"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pulse.microsoft.com\/nl-nl\/wp-json\/wp\/v2\/media\/1078054"}],"wp:attachment":[{"href":"https:\/\/pulse.microsoft.com\/nl-nl\/wp-json\/wp\/v2\/media?parent=1077894"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pulse.microsoft.com\/nl-nl\/wp-json\/wp\/v2\/categories?post=1077894"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

A prime example of this transformation is Dutch national railway service provider\u00a0Nederlandse\u00a0Spoorwegen (NS). On a mission to make the country more accessible by public transport, NS faced a challenge with their OV-fiets\u00a0bike-sharing service, where shortages\u00a0impacted\u00a0passenger experience. To address this, NS\u2019s data science team adopted\u00a0<\/span>Azure Machine Learning<\/span><\/a>\u00a0to build a predictive model for bike availability.<\/span>\u00a0<\/span><\/p>\n